Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs

1 February 2022

Papers citing "Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs"

4 / 4 papers shown

Title
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy Seira Hidano Takao Murakami 33 9 0 21 Feb 2022
Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization Canzhe Zhao Yanjie Ze Jing Dong Baoxiang Wang Shuai Li 58 4 0 25 Jan 2022
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 90 116 0 08 Dec 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 566 0 27 Jul 2020